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The following articles or blog posts are merged in Scholar. Their blended citations are counted only for the 1st write-up.
This "Cited by" count involves citations to the next content articles in Scholar. Those marked * can be distinct from the report during the profile.
下面的文章将在学术搜索中合并。它们的合并引用次数只会计入第一篇文章。
The global economic climate is dealing with by far the most difficult period of local weather improve past exactly what is apparent during the pre-industrial age. Despite the fact that Africa's share of global greenhouse gasoline (GHG) is negligible, the…
The following article content are merged in Scholar. Their blended citations are counted just for the initial short article.
Toward assault-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement Finding out tactic
A not-for-profit Firm, IEEE is the whole world's greatest complex Experienced Group dedicated to advancing technological innovation for the benefit of humanity.
A QoE-driven multicast tactic with segment routing—A novel multimedia site visitors engineering paradigm
The current era is struggling with a Predicament referring to participating the essentialities of Strength methods to Jiahao Shen History Researcher achieve financial prosperity due to the ensuing environmental problems. As a result, sectors…
An optimized quantum least exploring algorithm with sure-achievement likelihood and its experiment simulation with Cirq
Tracking environmental sustainability pathways in Africa: Do pure useful resource dependence, renewable Electrical power, and technological improvements amplify or lessen the air pollution noises?
Scanning radar ahead-wanting superresolution imaging dependant on the Weibull distribution for just a sea-area concentrate on
This "Cited by" rely contains citations to the next content articles in Scholar. The ones marked * might be various from the article during the profile.
此“引用引文的出版物数量”计数包含了对学术搜索中以下文章的引用次数。带有*标记的引文可能与个人学术档案中的文章有所区别。
The best way to disturb network reconnaissance: a shifting target protection solution dependant on deep reinforcement Discovering